Evidence map›Paper›PMID 37389401›Full record

ArticleNature water2023

National hydrologic connectivity classification links wetlands with stream water quality.

Scott G Leibowitz, Ryan A Hill, Irena F Creed, Jana E Compton, Heather E Golden, Marc H Weber, Mark C Rains, Chas E Jones, E Henry Lee, Jay R Christensen and 2 more

Abstract read
In one paragraph

Article in Nature water, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Stories of data sharing.Nature water · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Mapping global non-floodplain wetlands.Earth system science data · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Scott G LeibowitzUS Environmental Protection Agency (EPA), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Corvallis, OR, USA.ORCID 0000-0002-9955-9503
Ryan A HillUS Environmental Protection Agency (EPA), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Corvallis, OR, USA.ORCID 0000-0001-9583-0426
Irena F CreedDepartment of Physical and Environmental Science, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-8199-1472
Jana E ComptonUS Environmental Protection Agency (EPA), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Corvallis, OR, USA.ORCID 0000-0001-9833-8664
Heather E GoldenUS EPA, Center for Environmental Measurement and Modeling (CEMM), Watershed and Ecosystem Characterization Division, Cincinnati, OH, USA.ORCID 0000-0001-5501-9444
Marc H WeberUS Environmental Protection Agency (EPA), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Corvallis, OR, USA.ORCID 0000-0002-9742-4744
Mark C RainsSchool of Geosciences, University of South Florida, Tampa, FL, USA.ORCID 0000-0002-8103-475X
Chas E JonesORISE Post-doctoral Participant, c/o US EPA, CPHEA, PESD, Corvallis, OR, USA.ORCID 0000-0002-6089-2608
E Henry LeeUS Environmental Protection Agency (EPA), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Corvallis, OR, USA.ORCID 0000-0002-5619-4161
Jay R ChristensenUS EPA, Center for Environmental Measurement and Modeling (CEMM), Watershed and Ecosystem Characterization Division, Cincinnati, OH, USA.ORCID 0000-0003-4961-6132
Rebecca A BellmoreNational Research Council, c/o US EPA, CPHEA, PESD, Corvallis, OR, USA.ORCID 0000-0002-7124-3937
Charles R LaneUS EPA, CEMM, Ecosystem Processes Division, Athens, GA, USA.ORCID 0000-0003-0066-8919

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Wetland hydrologic connections to downstream waters influence stream water quality. However, no systematic approach for characterizing this connectivity exists. Here using physical principles, we categorized conterminous US freshwater wetlands into four hydrologic connectivity classes based on stream contact and flowpath depth to the nearest stream: riparian, non-riparian shallow, non-riparian mid-depth and non-riparian deep. These classes were heterogeneously distributed over the conterminous United States; for example, riparian dominated the south-eastern and Gulf coasts, while non-riparian deep dominated the Upper Midwest and High Plains. Analysis of a national stream dataset indicated acidification and organic matter brownification increased with connectivity. Eutrophication and sedimentation decreased with wetland area but did not respond to connectivity. This classification advances our mechanistic understanding of wetland influences on water quality nationally and could be applied globally.

Identifiers

PMID37389401
PMCPMC10302404

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.